Table 6 Comparing classification... | Emerald Publishing

Table 6

Comparing classification performance using different ratios without feature selection

Algorithm	Ratio	Accuracy	Precision	Recall	f-measure	Specificity
NB	1:1	75.09	69.9	88.73	78.09	61.46
DT	1:1	88	95.9	80.52	87.52	96.56
RF	1:1	89.83	95.77	83.34	89.11	96.31
LR	1:1	87.26	93.4	80.19	86.28	94.32
NB	1:2	80.56	66.29	85.04	74.48	78.33
DT	1:2	91.41	95.67	77.74	85.76	98.24
RF	1:2	92.13	94.42	81.18	87.29	97.6
LR	1:2	89.45	91.92	74.93	82.53	96.71
NB	1:3	90.85	85.24	76.71	80.73	95.57
DT	1:3	93.15	93.82	77.75	85.01	98.29
RF	1:3	93.16	93.91	77.7	85.02	98.31
LR	1:3	91.35	89.7	73.89	81	97.17
NB	Original	92.66	79.69	75.54	77.54	96.12
DT	Original	94.77	90.86	76.62	83.09	98.43
RF	Original	94.92	91.59	73.83	83.52	98.57
LR	Original	93.48	85.82	73.31	79.04	97.56

Algorithm	Ratio	Accuracy	Precision	Recall	f-measure	Specificity
NB	1:1	75.09	69.9	88.73	78.09	61.46
DT	1:1	88	95.9	80.52	87.52	96.56
RF	1:1	89.83	95.77	83.34	89.11	96.31
LR	1:1	87.26	93.4	80.19	86.28	94.32
NB	1:2	80.56	66.29	85.04	74.48	78.33
DT	1:2	91.41	95.67	77.74	85.76	98.24
RF	1:2	92.13	94.42	81.18	87.29	97.6
LR	1:2	89.45	91.92	74.93	82.53	96.71
NB	1:3	90.85	85.24	76.71	80.73	95.57
DT	1:3	93.15	93.82	77.75	85.01	98.29
RF	1:3	93.16	93.91	77.7	85.02	98.31
LR	1:3	91.35	89.7	73.89	81	97.17
NB	Original	92.66	79.69	75.54	77.54	96.12
DT	Original	94.77	90.86	76.62	83.09	98.43
RF	Original	94.92	91.59	73.83	83.52	98.57
LR	Original	93.48	85.82	73.31	79.04	97.56